head to head · open source
generative-ai-for-beginners vs Suna
generative-ai-for-beginners has 119,956 GitHub stars, 63,149 forks, 23 open issues and last shipped yesterday. Suna has 20,218 stars, 3,434 forks, 74 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 493% (119,956 vs 20,218 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; Suna is written in TypeScript under a custom or non-standard licence. generative-ai-for-beginners has attracted 53% as many forks as stars, Suna 17%. Suna was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| generative-ai-for-beginners | Suna | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 20K |
| License | MIT | Custom / other |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 63K | ⑂ 3.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 120K stars and counting
- You want the MIT license terms
- Your stack matches Jupyter Notebook
- You value the larger contributor base for long-term maintenance
pick Suna if
- You want the Suna feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and Suna fits your workflow better
About generative-ai-for-beginners
Generative AI for Beginners is Microsoft's free, MIT licensed curriculum of 21 Jupyter Notebook lessons that teaches developers how to start building generative AI applications, aimed at newcomers who want a structured, self paced path instead of scattered documentation.
read the full generative-ai-for-beginners overview →
About Suna
Suna is an open source AI Management System for autonomous AI agents that complete real world work. It lives in the AI and machine learning ecosystem, specifically AI development platforms, and presents an open source alternative to Claude Cowork and ChatGPT Work. It packages agents, shared skills, company memory, connectors, and runtime configuration into a git repository, so teams can version, diff, audit, and reuse agent logic.
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Frequently asked questions
Is generative-ai-for-beginners or Suna more popular?
generative-ai-for-beginners has 119,956 GitHub stars and Suna has 20,218. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and Suna free?
Both are open source. generative-ai-for-beginners is licensed under MIT, and Suna has no licence declared in this registry. Both are free to self-host.
What is the difference between generative-ai-for-beginners and Suna?
generative-ai-for-beginners is written in Jupyter Notebook and Suna in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, generative-ai-for-beginners or Suna?
Choose generative-ai-for-beginners if you want the larger community (119,956 stars) or its MIT licence terms. Choose Suna if its feature set, stack or Custom / other licence fits better. Both are self-hostable.